(2016). Modeling and control of user interest dictated information dissemination in communications and social networks. Nova Science Publishers, Inc..
Περίληψη
Information dissemination is one of the most critical processes in modern societies and one of the most important reasons for the proliferation of communications networks, especially of online social networks that have enabled global information exchange at rapid scales. This chapter will focus on information dissemination models that compared to the current literature, they specifically take into account aspects related to user interest and its temporal variability in the dynamics of information spreading. We focus on a dissemination framework regarding solely useful information, where users of communications and online social networks are willing to accept information and potentially further propagate it to their uninformed peers, depending on the interest each user has on specific topics. This is a novel perspective to consider information dissemination under inhomogeneous mixing, since the time-varying user interests affect significantly the outcome and the dynamics of information propagation and have an impact on its control process. Such models can be employed for further improving information dissemination analysis and control methodologies, and they can be exploited in various application domains, e.g., from infrastructure design and management, to marketing and advertising improvement. This chapter addresses both the modeling of information dissemination, especially via epidemics and evolutionary game theoretic techniques, as well as their control via optimal control frameworks and dual optimization techniques. © 2016 Nova Science Publishers, Inc. All rights reserved.
- ISBN
- 9781634852432; 9781634852258
- Τύπος
- Book
- Έτος
- 2016
Σύνδεσμοι
BibTeX
@book{Stai201645,
title = {Modeling and control of user interest dictated information dissemination in communications and social networks},
author = {E. Stai and V. Karyotis and S. Papavassiliou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85156108074&partnerID=40&md5=283dfb537c58ae4ad64224391ac08e60},
isbn = {9781634852432; 9781634852258},
year = {2016},
date = {2016-01-01},
journal = {Advances in Social Networking Research},
pages = {45-88},
publisher = {Nova Science Publishers, Inc.},
abstract = {Information dissemination is one of the most critical processes in modern societies and one of the most important reasons for the proliferation of communications networks, especially of online social networks that have enabled global information exchange at rapid scales. This chapter will focus on information dissemination models that compared to the current literature, they specifically take into account aspects related to user interest and its temporal variability in the dynamics of information spreading. We focus on a dissemination framework regarding solely useful information, where users of communications and online social networks are willing to accept information and potentially further propagate it to their uninformed peers, depending on the interest each user has on specific topics. This is a novel perspective to consider information dissemination under inhomogeneous mixing, since the time-varying user interests affect significantly the outcome and the dynamics of information propagation and have an impact on its control process. Such models can be employed for further improving information dissemination analysis and control methodologies, and they can be exploited in various application domains, e.g., from infrastructure design and management, to marketing and advertising improvement. This chapter addresses both the modeling of information dissemination, especially via epidemics and evolutionary game theoretic techniques, as well as their control via optimal control frameworks and dual optimization techniques. © 2016 Nova Science Publishers, Inc. All rights reserved.},
note = {cited By 0},
keywords = {},
pubstate = {published},
tppubtype = {book}
}